• DocumentCode
    3496881
  • Title

    Artificial Ant Colony: Features and applications on medical image segmentation

  • Author

    Alvarenga, A.V.

  • Author_Institution
    Lab. of Ultrasound, Nat. Inst. of Metrol., Stand. & Ind. Quality (Inmetro), Rio de Janeiro, Brazil
  • fYear
    2011
  • fDate
    March 28 2011-April 1 2011
  • Firstpage
    96
  • Lastpage
    101
  • Abstract
    Ant Colony Systems (ACS) have been applied to solve complex problems. The first Ant System was proposed in the earlier nineties, and since then several studies were performed to apply this paradigm in real problems. Several researchers have explored the idea of applying ACS to image processing. Herein, the original ACS models applied to image processing are presented. Moreover, two new models, based on the previous ones, are proposed and applied in two different types of medical images: mammogram and microtomography.
  • Keywords
    edge detection; image segmentation; mammography; medical image processing; optimisation; tomography; ACS model; artificial ant colony system; edge detection; image processing; mammogram; medical image segmentation; microtomography; Adaptation model; Conferences; IEEE catalog; Image edge detection; Image segmentation; Lattices; Pixel; Artificial Ant Colony; Edge Detection; Image Processing; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Health Care Exchanges (PAHCE), 2011 Pan American
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    978-1-61284-915-7
  • Type

    conf

  • DOI
    10.1109/PAHCE.2011.5871857
  • Filename
    5871857